About Me

I am currently a B.S. student at Jeonbuk National University, advised by Prof. Sang Jun Lee. My research interests lie in deep learning and computer vision, with a particular focus on omnidirectional stereo matching and 3D vision. I aim to develop robust perception systems capable of understanding and reconstructing complex environments from visual data.

Recently, I have been exploring methods for enhancing stereo correspondence and 3D reconstruction using omnidirectional cameras, addressing the unique challenges posed by wide field-of-view imaging.

My long-term goal is to advance environment perception technologies that can be applied to autonomous driving and military mobility systems, translating core computer vision research into reliable, deployable real-world solutions. 

RA-Distill: Relational Alignment Distillation Based on Gram Matrix for Semantic Segmentation of Country Club Environments 

International Journal of Control, Automation, and Systems (IJCAS), 2025

Yunseok Yang, Sang Jun Lee

[Paper]

Gram Matrix Guided Relational Alignment for Lightweight Semantic Segmentation in Country Club Environment

International Conference on Control, Automation and Systems (ICCAS), 2025

Yunseok Yang, Sang Jun Lee

[Paper]

• 양윤석, 최지호, 박주하, 이상준, “골프장 주행환경 세그멘테이션을 위한 채널 어텐션 기반의 지식 증류 기법”, 2025 제40회 제어·로봇·시스템학회 학술대회 (poster) (학부생논문상)

• 양윤석, 최지호, 박주하, 이상준, “골프장 주행환경 세그멘테이션을 위한 채널 어텐션 기반의 지식 증류 기법”, 제어로봇시스템학회논문지